已合并
fix: update product naming in stub doc #121
LiuZonggu创建于 9月23日
fix: update product naming in stub doc #121
已合并
共 1 个文件变更+6-6
| @@ -492,7 +492,7 @@ REG_OP(Unsqueeze) | |||
| 492 | .OUTPUT(y, TensorType::ALL()) | 492 | .OUTPUT(y, TensorType::ALL()) |
| 493 | .ATTR(axes, ListInt, {}) | 493 | .ATTR(axes, ListInt, {}) |
| 494 | .OP_END_FACTORY_REG(Unsqueeze) | 494 | .OP_END_FACTORY_REG(Unsqueeze) |
| 495 | - | 495 | + |
| 496 | /** | 496 | /** |
| 497 | * @brief Pad a tensor . | 497 | * @brief Pad a tensor . |
| 498 | 498 | ||
| @@ -642,7 +642,7 @@ REG_OP(FullyConnection) | |||
| 642 | * noop_with_empty_axes: An optional bool. Defaults to "true" . | 642 | * noop_with_empty_axes: An optional bool. Defaults to "true" . |
| 643 | * - If true, when axes = [], not reduce. | 643 | * - If true, when axes = [], not reduce. |
| 644 | * - If false, when axes = [], reduce all. | 644 | * - If false, when axes = [], reduce all. |
| 645 | -* This attribute is valid only for Ascend910_95 AI Processors and later products. | 645 | +* This attribute is valid only for Ascend 950PR&Ascend 950DT products and later products. |
| 646 | 646 | ||
| 647 | * @par Outputs: | 647 | * @par Outputs: |
| 648 | * y: A multi-dimensional Tensor, specifying the maximum value of the | 648 | * y: A multi-dimensional Tensor, specifying the maximum value of the |
| @@ -690,13 +690,13 @@ REG_OP(ReduceMax) | |||
| 690 | * If the input data contains -inf, -inf is converted into the minimum value of int16. \n | 690 | * If the input data contains -inf, -inf is converted into the minimum value of int16. \n |
| 691 | * @li In the scenarios where the data type is converted from INT32 to INT8: \n | 691 | * @li In the scenarios where the data type is converted from INT32 to INT8: \n |
| 692 | * It can only guarantee that the input data has no precision errors within the range of (-2048, 1920). | 692 | * It can only guarantee that the input data has no precision errors within the range of (-2048, 1920). |
| 693 | -* @li Atlas Inference Series Product in the scenarios where the data type is converted from FLOAT32 to INT8: \n | 693 | +* @li Atlas inference products in the scenarios where the data type is converted from FLOAT32 to INT8: \n |
| 694 | * It can only guarantee that the input data has no precision errors within the range of (-2048, 1920). | 694 | * It can only guarantee that the input data has no precision errors within the range of (-2048, 1920). |
| 695 | -* @li Atlas Inference Series Product in the scenarios where the data type is converted from FLOAT32 to INT64 and from FLOAT32 to UINT8: \n | 695 | +* @li Atlas inference products in the scenarios where the data type is converted from FLOAT32 to INT64 and from FLOAT32 to UINT8: \n |
| 696 | * It can only guarantee that the input data has no precision errors within the range of (-2147483648, 2147483583). | 696 | * It can only guarantee that the input data has no precision errors within the range of (-2147483648, 2147483583). |
| 697 | -* @li Atlas Inference Series Product in the scenarios where the data type is converted from INT64 to FLOAT32: \n | 697 | +* @li Atlas inference products in the scenarios where the data type is converted from INT64 to FLOAT32: \n |
| 698 | * It can only guarantee that the input data has no precision errors within the range of (-2147483648, 2147483647). | 698 | * It can only guarantee that the input data has no precision errors within the range of (-2147483648, 2147483647). |
| 699 | -* @li Ascend 910_95 AI Processor in the scenario where the data type is converted from INT32 to INT4: \n | 699 | +* @li Ascend 950PR&Ascend 950DT products in the scenario where the data type is converted from INT32 to INT4: \n |
| 700 | * The last dim of x must be an even number. | 700 | * The last dim of x must be an even number. |
| 701 | */ | 701 | */ |
| 702 | REG_OP(Cast) | 702 | REG_OP(Cast) |